Untangling cross-frequency coupling in neuroscience
- Cross-frequency coupling (CFC) has been proposed to coordinate neural dynamics across spatial and temporal scales. Despite its potential relevance for understanding healthy and pathological brain function, the standard CFC analysis and physiological interpretation come with fundamental problems. For example, apparent CFC can appear because of spectral correlations due to common non-stationarities that may arise in the total absence of interactions between neural frequency components. To provide a road map towards an improved mechanistic understanding of CFC, we organize the available and potential novel statistical/modeling approaches according to their biophysical interpretability. While we do not provide solutions for all the problems described, we provide a list of practical recommendations to avoid common errors and to enhance the interpretability of CFC analysis.
Author: | Juhan Aru, Jaan AruORCiDGND, Viola PriesemannORCiDGND, Michael WibralORCiDGND, Luiz Lana, Gordon PipaORCiDGND, Wolf SingerORCiDGND, Raul VicenteORCiD |
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URN: | urn:nbn:de:hebis:30:3-723729 |
DOI: | https://doi.org/10.1101/005926 |
Parent Title (English): | bioRxiv |
Document Type: | Preprint |
Language: | English |
Date of Publication (online): | 2014/08/25 |
Date of first Publication: | 2014/08/25 |
Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
Release Date: | 2023/04/20 |
Issue: | 005926 |
Page Number: | 47 |
HeBIS-PPN: | 509804993 |
Institutes: | Medizin |
Angeschlossene und kooperierende Institutionen / MPI für Hirnforschung | |
Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
Sammlungen: | Universitätspublikationen |
Licence (German): | Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |